Fast and stable nonconvex constrained distributed optimization: the ELLADA algorithm

Distributed optimization using multiple computing agents in a localized and coordinated manner is a promising approach for solving large-scale optimization problems, e.g., those arising in model predictive control (MPC) of large-scale plants. However, a distributed optimization algorithm that is com...

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Bibliographic Details
Published in:	Optimization and engineering Vol. 23; no. 1; pp. 259 - 301
Main Authors:	Tang, Wentao, Daoutidis, Prodromos
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.03.2022 Springer Nature B.V
Subjects:	Algorithms Benchmarks Constraints Control Convergence Engineering Environmental Management Financial Engineering Mathematics Mathematics and Statistics Nonlinear programming Operations Research/Decision Theory Optimization Predictive control Research Article Systems Theory Model predictive control Distributed optimization Nonconvex optimization Acceleration
ISSN:	1389-4420, 1573-2924
Online Access:	Get full text
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